Sheikh Rabiul Islam
Orcid: 0000-0001-9610-0230
According to our database1,
Sheikh Rabiul Islam
authored at least 37 papers
between 2017 and 2024.
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Bibliography
2024
Algorithms, September, 2024
Int. J. Artif. Intell. Tools, May, 2024
Int. J. Artif. Intell. Tools, May, 2024
Proceedings of the Explainable Artificial Intelligence, 2024
Proceedings of the IEEE International Conference on Smart Computing, 2024
Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024
Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024
Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024
2023
Ad-Hoc Monitoring of COVID-19 Global Research Trends for Well-Informed Policy Making.
ACM Trans. Intell. Syst. Technol., April, 2023
Circuits Syst. Signal Process., February, 2023
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023
Vision Transformers for Galaxy Morphology Classification: Fine-Tuning Pre-trained Networks vs. Training from Scratch.
Proceedings of the Deep Learning Theory and Applications - 4th International Conference, 2023
Aiming to Minimize Alcohol-Impaired Road Fatalities: Utilizing Fairness-Aware and Domain Knowledge-Infused Artificial Intelligence.
Proceedings of the IEEE International Conference on Big Data, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
2022
Learning Condition-Invariant Scene Representations for Place Recognition across the Seasons Using Auto-Encoder and ICA.
J. Electr. Comput. Eng., 2022
Incorporating the Concepts of Fairness and Bias into an Undergraduate Computer Science Course to Promote Fair Automated Decision Systems.
Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022
Data-Driven Estimation of Effectiveness of COVID-19 Non-pharmaceutical Intervention Policies.
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the Symposium How Fair is Fair? Achieving Wellbeing AI co-located with Association for the Advancement of Artificial Intelligence 2022 Spring Symposium (AAAI-Spring Symposium 2022), 2022
2021
FAIXID: A Framework for Enhancing AI Explainability of Intrusion Detection Results Using Data Cleaning Techniques.
J. Netw. Syst. Manag., 2021
Exploring the Scope and Potential of Local Newspaper-based Dengue Surveillance in Bangladesh.
CoRR, 2021
A Supervised Rare Anomaly Detection Technique via Cooperative Co-evolution-Based Feature Selection Using Benchmark UNSW_NB15 Dataset.
Proceedings of the Ubiquitous Security - First International Conference, 2021
COVID19α: Interactive Spatio-Temporal Visualization of COVID-19 Symptoms through Tweet Analysis.
Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021
Observing the Unobserved: A Newspaper Based Dengue Surveillance System for the Low-Income Regions of Bangladesh.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021
Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), 2021
2020
Towards Quantification of Explainability in Explainable Artificial Intelligence Methods.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020
Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response.
Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice, 2020
2019
Investigating bankruptcy prediction models in the presence of extreme class imbalance and multiple stages of economy.
CoRR, 2019
Infusing domain knowledge in AI-based "black box" models for better explainability with application in bankruptcy prediction.
CoRR, 2019
Proceedings of the Science of Cyber Security - Second International Conference, 2019
2018
CoRR, 2018
A Deep Learning Based Illegal Insider-Trading Detection and Prediction Technique in Stock Market.
CoRR, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
A Flexible-blocking Based Approach for Performance Tuning of Matrix Multiplication Routines for Large Matrices with Edge Cases.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Proceedings of the International Conference on Compute and Data Analysis, 2017